RoHNAS: A Neural Architecture Search Framework With Conjoint Optimization for Adversarial Robustness and Hardware Efficiency of Convolutional and Capsule Networks.
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%0 Journal Article
%1 journals/access/MarchisioMMBMS22
%A Marchisio, Alberto
%A Mrazek, Vojtech
%A Massa, Andrea
%A Bussolino, Beatrice
%A Martina, Maurizio
%A Shafique, Muhammad
%D 2022
%J IEEE Access
%K dblp
%P 109043-109055
%T RoHNAS: A Neural Architecture Search Framework With Conjoint Optimization for Adversarial Robustness and Hardware Efficiency of Convolutional and Capsule Networks.
%U http://dblp.uni-trier.de/db/journals/access/access10.html#MarchisioMMBMS22
%V 10
@article{journals/access/MarchisioMMBMS22,
added-at = {2022-11-13T00:00:00.000+0100},
author = {Marchisio, Alberto and Mrazek, Vojtech and Massa, Andrea and Bussolino, Beatrice and Martina, Maurizio and Shafique, Muhammad},
biburl = {https://www.bibsonomy.org/bibtex/2bf510bb07836654f82ad0fd3284f76b7/dblp},
ee = {https://doi.org/10.1109/ACCESS.2022.3214312},
interhash = {2dbf055d2b042412cc20c9f21f43595a},
intrahash = {bf510bb07836654f82ad0fd3284f76b7},
journal = {IEEE Access},
keywords = {dblp},
pages = {109043-109055},
timestamp = {2024-04-08T14:15:13.000+0200},
title = {RoHNAS: A Neural Architecture Search Framework With Conjoint Optimization for Adversarial Robustness and Hardware Efficiency of Convolutional and Capsule Networks.},
url = {http://dblp.uni-trier.de/db/journals/access/access10.html#MarchisioMMBMS22},
volume = 10,
year = 2022
}
